The purpose of this study is to strengthen the normative QbMobile data for children and adolescents age 6-11 years to allow for a more robust and accurate representation when comparing a patient's QbMobile performance with the appropriate normative reference group.
Participants will be recruited and referred from selected clinics' general population databases, local schools, youth centers and organizations, as well as other general practitioners within the surrounding area. Participants will be pre-screened via an online questionnaire completed by their parent/legal guardian designed to capture diagnostic history and general demographic information. Access to the questionnaire will be initiated by scanning a QR code on the study flyer that will be visibly posted at locations listed above. Parents or legal guardians will be asked to provide a reliable phone number within the pre-screening questionnaire, which will be used by the research team to follow up and verify the information submitted in the questionnaire. Once eligibility is confirmed through both the questionnaire and phone verification, participants will be scheduled for enrollment in the study. On the scheduled study day, participants will complete a 10-minute QbMobile test.
Study Type
OBSERVATIONAL
Enrollment
150
Participants will complete a non-invasive, 10-minute digital tests using the QbMobile Investigational Device. The test objectively measure cognitive performance and activity levels.
Establishment of Normative Statistics for QbMobile Performance
Normative data will be analyzed to generate Standard Deviation (SD) scores and Total Scores for four domains: activity, impulsivity, inattention, and movement patterns. QbMobile SD-scores are standardized metrics derived from the main parameters (attention, impulsivity, activity and movement). These scores are calculated using and age and sex at birth adjusted normative dataset. The QbMobile also produces a Total Score number ranging from 0 to 100, where 0 indicates a low likelihood of exhibiting ADHD symptoms and 100 indicates a high likelihood of exhibiting ADHD symptoms. These scores will enable individual test performance to be expressed relative to normative benchmarks.
Time frame: 1 QbMobile test at the clinic visit (Day 1)
Exploratory Analysis of Additional Domain Parameters
Exploratory analyses will be conducted on raw QbMobile data collected at Day 1 to identify potential additional parameters that may serve as indices of activity, attention, impulsivity, and movement from the QbMobile Standard Deviation (SD) Scores and Total Scores. QbMobile SD-scores are standardized metrics derived from the main parameters (attention, impulsivity, activity and movement). These scores are calculated using and age and sex at birth adjusted normative dataset. The QbMobile also produces a Total Score number ranging from 0 to 100, where 0 indicates a low likelihood of exhibiting ADHD symptoms and 100 indicates a high likelihood of exhibiting ADHD symptoms. These parameters will be evaluated for their potential association with ADHD symptomatology.
Time frame: 1 QbMobile test at the clinic visit (Day 1)
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